
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:10:00
\begin{table}[!htbp] \centering 
  \caption{Effects of import competition on voting for combined
        Liberals and Labour,
        exposure-robust standard errors} 
  \label{table_votes_robust_l_ex} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccc} 
\toprule 
 & (1) & (2) & (3) & (4)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}$ & $-$0.020$^{***}$ & $-$0.013$^{**}$ & 0.019$^{***}$ & 0.015$^{***}$ \\ 
  & (0.004) & (0.005) & (0.005) & (0.005) \\ 
 \addlinespace 
\midrule  
Years & 1885--1900 & 1885--1900 & 1900--1910 & 1900-1910 \\ 
Initial MF x election &  & x &  & x \\ 
First stage F-stat & 5.4 & 7.2 & 12.2 & 13 \\ 
Observations & 475 & 475 & 380 & 380 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{4}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{4}{l}{\parbox[t]{0.5\textwidth}{
        This table replicates the results of Table
        \ref{table_votes_robust_l_cl} using the aggregation
        and standard error calculation methods recommended by Borusyak, Hull,
        and Jaravel (2022). Constituency-level variables aggregated up to the industry level,
        dependent variable is combined share of the vote for the Liberal and
        Labour parties.
        All models include constituency and election fixed effects, (2) and (4) add
        the manufacturing employment in 1880 interacted with election dummies.
        Standard errors clustered by industry in parentheses.}} \\ 
\end{tabular} 
\end{table} 
